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Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain
  Lesion Segmentation

Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation

18 March 2016
Konstantinos Kamnitsas
C. Ledig
Virginia Newcombe
Joanna P. Simpson
A. D. Kane
David Menon
Daniel Rueckert
Ben Glocker
    MedIm
    3DV
ArXivPDFHTML

Papers citing "Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation"

50 / 592 papers shown
Title
Direct Estimation of Pharmacokinetic Parameters from DCE-MRI using Deep
  CNN with Forward Physical Model Loss
Direct Estimation of Pharmacokinetic Parameters from DCE-MRI using Deep CNN with Forward Physical Model Loss
Cagdas Ulas
Giles Tetteh
M. Thrippleton
Paul A. Armitage
S. Makin
Joanna M. Wardlaw
Mike E. Davies
Bjoern H. Menze
MedIm
19
22
0
08 Apr 2018
Pancreas Segmentation in CT and MRI Images via Domain Specific Network
  Designing and Recurrent Neural Contextual Learning
Pancreas Segmentation in CT and MRI Images via Domain Specific Network Designing and Recurrent Neural Contextual Learning
Jinzheng Cai
Le Lu
Fuyong Xing
L. Yang
MedIm
34
36
0
30 Mar 2018
Asymmetric Loss Functions and Deep Densely Connected Networks for Highly
  Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis
  Lesion Detection
Asymmetric Loss Functions and Deep Densely Connected Networks for Highly Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection
Seyed Raein Hashemi
Seyed Sadegh Mohseni Salehi
Deniz Erdogmus
S. Prabhu
Simon K. Warfield
Ali Gholipour
MedIm
18
163
0
28 Mar 2018
Graph Convolutions on Spectral Embeddings: Learning of Cortical Surface
  Data
Graph Convolutions on Spectral Embeddings: Learning of Cortical Surface Data
Karthik Gopinath
Christian Desrosiers
H. Lombaert
19
4
0
27 Mar 2018
Correcting differences in multi-site neuroimaging data using Generative
  Adversarial Networks
Correcting differences in multi-site neuroimaging data using Generative Adversarial Networks
H. Nguyen
R. Morris
Anthony W. Harris
Mayuresh S. Korgoankar
F. Ramos
MedIm
11
8
0
26 Mar 2018
Multiple Sclerosis Lesion Segmentation from Brain MRI via Fully
  Convolutional Neural Networks
Multiple Sclerosis Lesion Segmentation from Brain MRI via Fully Convolutional Neural Networks
Snehashis Roy
J. Butman
Daniel Reich
P. Calabresi
D. L. Pham
MedIm
18
86
0
24 Mar 2018
Deep learning and its application to medical image segmentation
Deep learning and its application to medical image segmentation
H. Roth
Chen Shen
H. Oda
M. Oda
Y. Hayashi
K. Misawa
K. Mori
MedIm
SSeg
48
114
0
23 Mar 2018
Semantic Segmentation of Pathological Lung Tissue with Dilated Fully
  Convolutional Networks
Semantic Segmentation of Pathological Lung Tissue with Dilated Fully Convolutional Networks
M. Anthimopoulos
Stergios Christodoulidis
L. Ebner
Thomas Geiser
Andreas Christe
Stavroula Mougiakakou
14
113
0
16 Mar 2018
An application of cascaded 3D fully convolutional networks for medical
  image segmentation
An application of cascaded 3D fully convolutional networks for medical image segmentation
H. Roth
H. Oda
Xiangrong Zhou
N. Shimizu
Ying Yang
Y. Hayashi
M. Oda
M. Fujiwara
K. Misawa
K. Mori
16
273
0
14 Mar 2018
Development and Validation of Deep Learning Algorithms for Detection of
  Critical Findings in Head CT Scans
Development and Validation of Deep Learning Algorithms for Detection of Critical Findings in Head CT Scans
Sasank Chilamkurthy
Rohit Ghosh
Swetha Tanamala
Mustafa Biviji
N. Campeau
V. Venugopal
V. Mahajan
Pooja Rao
Prashant Warier
13
103
0
13 Mar 2018
A Deep Learning Approach for Pose Estimation from Volumetric OCT Data
A Deep Learning Approach for Pose Estimation from Volumetric OCT Data
N. Gessert
M. Schlüter
Alexander Schlaefer
27
30
0
10 Mar 2018
Towards Clinical Diagnosis: Automated Stroke Lesion Segmentation on
  Multimodal MR Image Using Convolutional Neural Network
Towards Clinical Diagnosis: Automated Stroke Lesion Segmentation on Multimodal MR Image Using Convolutional Neural Network
Zhiyang Liu
Chen Cao
Shuxue Ding
T. Han
Zhiang Liu
Sheng Liu
16
31
0
05 Mar 2018
Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution
  to the BRATS 2017 Challenge
Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge
Fabian Isensee
Philipp Kickingereder
Wolfgang Wick
Martin Bendszus
Klaus H. Maier-Hein
27
493
0
28 Feb 2018
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net)
  for Medical Image Segmentation
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation
Md. Zahangir Alom
Mahmudul Hasan
C. Yakopcic
T. Taha
V. Asari
SSeg
42
1,003
0
20 Feb 2018
Fully Convolutional Network Ensembles for White Matter Hyperintensities
  Segmentation in MR Images
Fully Convolutional Network Ensembles for White Matter Hyperintensities Segmentation in MR Images
Hongwei Bran Li
Gongfa Jiang
Jianguo Zhang
Ruixuan Wang
Zhaolei Wang
Weishi Zheng
Bjoern H. Menze
34
194
0
14 Feb 2018
ASMCNN: An Efficient Brain Extraction Using Active Shape Model and
  Convolutional Neural Networks
ASMCNN: An Efficient Brain Extraction Using Active Shape Model and Convolutional Neural Networks
D. M. Nguyen
Duy M. Nguyen
T. T. N. Mai
Thu Nguyen
Khanh T. Tran
Anh Triet Nguyen
B. Pham
Binh T. Nguyen
21
16
0
05 Feb 2018
Quantitative analysis of patch-based fully convolutional neural networks
  for tissue segmentation on brain magnetic resonance imaging
Quantitative analysis of patch-based fully convolutional neural networks for tissue segmentation on brain magnetic resonance imaging
J. Bernal
Kaisar Kushibar
Mariano Cabezas
Sergi Valverde
A. Oliver
Xavier Llado
3DV
19
38
0
19 Jan 2018
MRI Tumor Segmentation with Densely Connected 3D CNN
MRI Tumor Segmentation with Densely Connected 3D CNN
Lele Chen
Yue Wu
Adora M. DSouza
A. Abidin
A. Wismüller
Chenliang Xu
39
119
0
18 Jan 2018
Fully Convolutional Multi-scale Residual DenseNets for Cardiac
  Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers
Fully Convolutional Multi-scale Residual DenseNets for Cardiac Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers
Mahendra Khened
Alex Varghese
Ganapathy Krishnamurthi
24
310
0
16 Jan 2018
QuickNAT: A Fully Convolutional Network for Quick and Accurate
  Segmentation of Neuroanatomy
QuickNAT: A Fully Convolutional Network for Quick and Accurate Segmentation of Neuroanatomy
Abhijit Guha Roy
Sailesh Conjeti
Nassir Navab
Christian Wachinger
38
223
0
12 Jan 2018
Brain Tumor Segmentation Based on Refined Fully Convolutional Neural
  Networks with A Hierarchical Dice Loss
Brain Tumor Segmentation Based on Refined Fully Convolutional Neural Networks with A Hierarchical Dice Loss
Jiachi Zhang
Xiaolei Shen
Tianqi Zhuo
Hong Zhou
27
39
0
25 Dec 2017
Automatic Renal Segmentation in DCE-MRI using Convolutional Neural
  Networks
Automatic Renal Segmentation in DCE-MRI using Convolutional Neural Networks
M. Haghighi
Simon K. Warfield
Sila Kurugol
MedIm
30
36
0
19 Dec 2017
Automatic segmentation method of pelvic floor levator hiatus in
  ultrasound using a self-normalising neural network
Automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalising neural network
E. Bonmati
Yipeng Hu
Nikhil Sindhwani
H. Dietz
Jan D'hooge
D. Barratt
Jan Deprest
Tom Kamiel Magda Vercauteren
29
30
0
18 Dec 2017
Deep CNN ensembles and suggestive annotations for infant brain MRI
  segmentation
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation
Jose Dolz
Christian Desrosiers
Li Wang
Jing Yuan
Dinggang Shen
Ismail Ben Ayed
3DV
48
113
0
14 Dec 2017
Deep convolutional neural networks for brain image analysis on magnetic
  resonance imaging: a review
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review
J. Bernal
Kaisar Kushibar
Daniel S. Asfaw
Sergi Valverde
A. Oliver
Robert Martí
Xavier Llado
22
349
0
11 Dec 2017
Deep learning analysis of the myocardium in coronary CT angiography for
  identification of patients with functionally significant coronary artery
  stenosis
Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis
M. Zreik
Nikolas Lessmann
R. V. Hamersvelt
J. Wolterink
M. Voskuil
M. Viergever
T. Leiner
Ivana Išgum
24
173
0
24 Nov 2017
Applications of Deep Learning and Reinforcement Learning to Biological
  Data
Applications of Deep Learning and Reinforcement Learning to Biological Data
M. S. M. Mahmud
M. S. Kaiser
Amir Hussain
S. Vassanelli
OffRL
AI4CE
41
641
0
10 Nov 2017
Towards Automatic 3D Shape Instantiation for Deployed Stent Grafts: 2D
  Multiple-class and Class-imbalance Marker Segmentation with Equally-weighted
  Focal U-Net
Towards Automatic 3D Shape Instantiation for Deployed Stent Grafts: 2D Multiple-class and Class-imbalance Marker Segmentation with Equally-weighted Focal U-Net
Xiao-Yun Zhou
Su-Lin Lee
Guang-Zhong Yang
3DPC
29
34
0
04 Nov 2017
Ensembles of Multiple Models and Architectures for Robust Brain Tumour
  Segmentation
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation
Konstantinos Kamnitsas
Wenjia Bai
Enzo Ferrante
Jingyu Sun
Matthew Sinclair
...
Martin Rajchl
Matthew C. H. Lee
Bernhard Kainz
Daniel Rueckert
Ben Glocker
3DV
AAML
OOD
11
432
0
04 Nov 2017
Deep Learning and Conditional Random Fields-based Depth Estimation and
  Topographical Reconstruction from Conventional Endoscopy
Deep Learning and Conditional Random Fields-based Depth Estimation and Topographical Reconstruction from Conventional Endoscopy
Faisal Mahmood
Nicholas J. Durr
MedIm
35
142
0
30 Oct 2017
SEGCloud: Semantic Segmentation of 3D Point Clouds
SEGCloud: Semantic Segmentation of 3D Point Clouds
Lyne P. Tchapmi
Chris Choy
Iro Armeni
JunYoung Gwak
Silvio Savarese
3DPC
9
748
0
20 Oct 2017
Isointense Infant Brain Segmentation with a Hyper-dense Connected
  Convolutional Neural Network
Isointense Infant Brain Segmentation with a Hyper-dense Connected Convolutional Neural Network
Jose Dolz
Ismail Ben Ayed
Jing Yuan
Christian Desrosiers
24
10
0
16 Oct 2017
Interactive Medical Image Segmentation using Deep Learning with
  Image-specific Fine-tuning
Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning
Guotai Wang
Wenqi Li
Maria A. Zuluaga
R. Pratt
P. Patel
...
T. Doel
A. David
Jan Deprest
Sebastien Ourselin
Tom Kamiel Magda Vercauteren
41
686
0
11 Oct 2017
Neural Multi-Atlas Label Fusion: Application to Cardiac MR Images
Neural Multi-Atlas Label Fusion: Application to Cardiac MR Images
Heran Yang
Jian Sun
Huibin Li
Lisheng Wang
Zongben Xu
33
27
0
27 Sep 2017
Recurrent Saliency Transformation Network: Incorporating Multi-Stage
  Visual Cues for Small Organ Segmentation
Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation
Qihang Yu
Lingxi Xie
Yan Wang
Yuyin Zhou
Elliot K. Fishman
Alan Yuille
MedIm
23
3
0
13 Sep 2017
Sequential 3D U-Nets for Biologically-Informed Brain Tumor Segmentation
Sequential 3D U-Nets for Biologically-Informed Brain Tumor Segmentation
Andrew Beers
Ken Chang
James M. Brown
Emmett Sartor
C. P. Mammen
Elizabeth R Gerstner
Bruce Rosen
Jayashree Kalpathy-Cramer
11
49
0
09 Sep 2017
An Adaptive Sampling Scheme to Efficiently Train Fully Convolutional
  Networks for Semantic Segmentation
An Adaptive Sampling Scheme to Efficiently Train Fully Convolutional Networks for Semantic Segmentation
L. Berger
E. Hyde
M. Jorge Cardoso
Sebastien Ourselin
SSeg
14
40
0
08 Sep 2017
Medical Image Analysis using Convolutional Neural Networks: A Review
Medical Image Analysis using Convolutional Neural Networks: A Review
Syed Muhammad Anwar
Muhammad Majid
A. Qayyum
Muhammad Awais
M. Alnowami
Muhammad Khurram Khan
MedIm
13
1,036
0
04 Sep 2017
Gaussian Filter in CRF Based Semantic Segmentation
Gaussian Filter in CRF Based Semantic Segmentation
Yichi Gu
Qisheng Wu
Jing Li
K. Cheng
SSeg
16
0
0
02 Sep 2017
Automatic Brain Tumor Segmentation using Cascaded Anisotropic
  Convolutional Neural Networks
Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks
Guotai Wang
Wenqi Li
Sebastien Ourselin
Tom Kamiel Magda Vercauteren
16
479
0
01 Sep 2017
High Efficient Reconstruction of Single-shot T2 Mapping from
  OverLapping-Echo Detachment Planar Imaging Based on Deep Residual Network
High Efficient Reconstruction of Single-shot T2 Mapping from OverLapping-Echo Detachment Planar Imaging Based on Deep Residual Network
C. Cai
Yiqing Zeng
Chao Wang
S. Cai
Jun Zhang
Zhong Chen
Xinghao Ding
J. Zhong
26
1
0
17 Aug 2017
Segmentation of Glioma Tumors in Brain Using Deep Convolutional Neural
  Network
Segmentation of Glioma Tumors in Brain Using Deep Convolutional Neural Network
S. Hussain
Syed Muhammad Anwar
Muhammad Majid
20
207
0
01 Aug 2017
Automatic segmentation of the intracranialvolume in fetal MR images
Automatic segmentation of the intracranialvolume in fetal MR images
Nadieh Khalili
P. Moeskops
N. Claessens
S. Scherpenzeel
Elise Turk
R. Heus
M. Benders
M. Viergever
J. Pluim
I. Išgum
14
15
0
31 Jul 2017
Synthesis of Positron Emission Tomography (PET) Images via Multi-channel
  Generative Adversarial Networks (GANs)
Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs)
Lei Bi
Jinman Kim
Ashnil Kumar
D. Feng
M. Fulham
MedIm
GAN
13
136
0
31 Jul 2017
EnzyNet: enzyme classification using 3D convolutional neural networks on
  spatial representation
EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation
A. Amidi
Shervine Amidi
D. Vlachakis
V. Megalooikonomou
Nikos Paragios
E. Zacharaki
MedIm
38
85
0
19 Jul 2017
Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent
  Neural Contextual Learning and Direct Loss Function
Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function
Jinzheng Cai
Le Lu
Yuanpu Xie
Fuyong Xing
L. Yang
MedIm
SSeg
35
132
0
16 Jul 2017
Expected exponential loss for gaze-based video and volume ground truth
  annotation
Expected exponential loss for gaze-based video and volume ground truth annotation
Laurent Lejeune
Mario Christoudias
Raphael Sznitman
MedIm
26
7
0
16 Jul 2017
Generalised Dice overlap as a deep learning loss function for highly
  unbalanced segmentations
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations
Carole H Sudre
Wenqi Li
Tom Kamiel Magda Vercauteren
Sébastien Ourselin
M. Jorge Cardoso
SSeg
27
2,121
0
11 Jul 2017
Adversarial training and dilated convolutions for brain MRI segmentation
Adversarial training and dilated convolutions for brain MRI segmentation
P. Moeskops
M. Veta
Maxime W. Lafarge
K. Eppenhof
J. Pluim
MedIm
GAN
30
132
0
11 Jul 2017
On the Compactness, Efficiency, and Representation of 3D Convolutional
  Networks: Brain Parcellation as a Pretext Task
On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task
Wenqi Li
Guotai Wang
Lucas Fidon
Sebastien Ourselin
M. Jorge Cardoso
Tom Kamiel Magda Vercauteren
3DV
30
337
0
06 Jul 2017
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